Triple

T18205302
Position Surface form Disambiguated ID Type / Status
Subject EncoderDecoderModel E435886 entity
Predicate canUseEncoderType P9928 FINISHED
Object BertModel NE NERFINISHED

How this triple was built (4 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: BertModel | Statement: [EncoderDecoderModel, canUseEncoderType, BertModel]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: BertModel
Context triple: [EncoderDecoderModel, canUseEncoderType, BertModel]
  • A. Bert
    Bert is the nickname of Bert Hinkler, an Australian aviation pioneer and record-breaking solo long-distance pilot of the early 20th century.
  • B. Bert
    Bert is a film director best known for co-directing the 2019 coming-of-age comedy-drama "Troop Zero."
  • C. Bert
    Bert is a serious, detail-oriented Muppet from Sesame Street, best known for his love of pigeons, paper clips, and his comedic odd-couple friendship with Ernie.
  • D. Bert
    Bert is a Liver Bird statue, one of the iconic mythical bird sculptures associated with the city of Liverpool.
  • E. Bert
    Bert is a Swedish film or television production best known as an early directorial work by acclaimed filmmaker Tomas Alfredson.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: BertModel
Target entity description: BertModel is a transformer-based neural network architecture from the BERT family used primarily for encoding text representations in natural language processing tasks.
  • A. Bert
    Bert is the nickname of Bert Hinkler, an Australian aviation pioneer and record-breaking solo long-distance pilot of the early 20th century.
  • B. Bert
    Bert is a film director best known for co-directing the 2019 coming-of-age comedy-drama "Troop Zero."
  • C. Bert
    Bert is a serious, detail-oriented Muppet from Sesame Street, best known for his love of pigeons, paper clips, and his comedic odd-couple friendship with Ernie.
  • D. Bert
    Bert is a Liver Bird statue, one of the iconic mythical bird sculptures associated with the city of Liverpool.
  • E. Bert
    Bert is a Swedish film or television production best known as an early directorial work by acclaimed filmmaker Tomas Alfredson.
  • F. None of above. chosen
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: canUseEncoderType
Context triple: [EncoderDecoderModel, canUseEncoderType, BertModel]
  • A. usesCodec
    Indicates that one entity employs or relies on a specific codec to encode, decode, or process data.
  • B. imageEncoderType
    Indicates the specific kind or configuration of encoder used to process and represent image data.
  • C. canBeEncryptedUsing
    Indicates that one entity is capable of being transformed into a secure, encoded form by applying the encryption method or key represented by another entity.
  • D. canUse chosen
    Indicates that one entity has the ability, permission, or suitability to make use of another entity or resource.
  • E. canUseNetworkType
    Indicates that an entity is permitted or able to operate using a specified type of network.
  • F. None of above.

Provenance (3 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69d8b90dba6481908e119eb9aa4ca0cb completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4e222831081908f7d5500424e3acb completed April 19, 2026, 2:09 p.m.
PD Predicate disambiguation batch_69e4332155d88190b106d0dceb4554af completed April 19, 2026, 1:42 a.m.
Created at: April 10, 2026, 10:32 a.m.